Personnel selection based on computing with words and fuzzy MULTIMOORA

Alvydas Baležentis, Tomas Baležentis, Willem K M Brauers

Research output: Contribution to journalArticle

113 Citations (Scopus)

Abstract

Personnel selection process is aimed at choosing the best candidate to fill the defined vacancy in a company. It determines the input quality of personnel and thus plays an important role in human resource management. Given the uncertain, ambiguous, and vague nature of personnel selection process, it requires the application of multi-criteria decision making (MCDM) methods for robust recruitment. This paper hence is aimed at extending the fuzzy MULTIMOORA for linguistic reasoning under group decision making. The fuzzy MULTIMOORA was further modified in this study. The fuzzy MULTIMOORA for group decision making (MULTIMOORA-FG) enables to aggregate subjective assessments of the decision-makers and thus offer an opportunity to perform more robust personnel selection procedures. A personnel selection problem illustrated the group decision-making procedure according to MULTIMOORA-FG: the enterprise has formed an executive committee consisting of four decision-makers to choose the best candidate from another four participants to fill the vacancy. The committee has decided to consider eight qualitative attributes expressed in linguistic variables. The numerical example exhibited possibilities for improvement of human resources management as well as any other business decision area by applying MULTIMOORA-FG.

Original languageEnglish
Pages (from-to)7961-7967
Number of pages7
JournalExpert Systems with Applications
Volume39
Issue number9
DOIs
Publication statusPublished - Jul 2012

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Keywords

  • Human resources management
  • Linguistic reasoning
  • MULTIMOORA
  • MULTIMOORA-FG
  • Personnel management
  • Personnel selection

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Engineering(all)

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